Large deviations for randomly weighted least squares estimator in a nonlinear regression model
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s00184-023-00926-0.pdf
Reference37 articles.
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2. Block HW, Savits TH, Shaked M (1982) Some concepts of negative dependence. Ann Prob 10(3):765–772
3. Bozorgnia A, Patterson RF, Taylor RL (1996) Limit theorems for dependent random variables. In: Proceedings of the first world congress of nonlinear analysts 92 (II), Walter de Grutyer, Berlin, 1639–1650
4. Chen PY, Bai P, Sung SH (2014) The von Bahr-Esseen moment inequality for pairwise independent random variables and applications. J Math Anal Appl 419(2):1290–1302
5. Chen YQ, Chen AY, Ng KW (2010) The strong law of large numbers for extended negatively dependent random variables. J Appl Prob 47:908–922
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